def test_not_a_list_on_filter(self):
# Typed List Value should raises an error
# if no iterable variable is given on input
# list of matrices
myType = TypedListType(T.TensorType(theano.config.floatX, (False, False)))
with pytest.raises(TypeError):
myType.filter(4)
def test_wrong_input_on_filter(self):
# Typed list type should raises an
# error if the argument given to filter
# isn't of the same type as the one
# specified on creation
# list of matrices
myType = TypedListType(T.TensorType(theano.config.floatX, (False, False)))
with pytest.raises(TypeError):
myType.filter([4])
def test_filter_sanity_check(self):
# Simple test on typed list type filter
myType = TypedListType(T.TensorType(theano.config.floatX, (False, False)))
x = rand_ranged_matrix(-1000, 1000, [100, 100])
assert np.array_equal(myType.filter([x]), [x])
def test_load(self):
myType = TypedListType(T.TensorType(theano.config.floatX, (False, False)))
x = rand_ranged_matrix(-1000, 1000, [100, 100])
testList = []
for i in range(10000):
testList.append(x)
assert np.array_equal(myType.filter(testList), testList)
def test_filter_sanity_check(self):
# Simple test on typed list type filter
myType = TypedListType(T.TensorType(theano.config.floatX,
(False, False)))
x = rand_ranged_matrix(-1000, 1000, [100, 100])
self.assertTrue(np.array_equal(myType.filter([x]), [x]))
def test_intern_filter(self):
# Test checking if values contained are themselves
# filtered. If they weren't this code would raise
# an exception.
myType = TypedListType(T.TensorType('float64', (False, False)))
x = np.asarray([[4, 5], [4, 5]], dtype='float32')
self.assertTrue(np.array_equal(myType.filter([x]), [x]))
def test_basic_nested_list(self):
# Testing nested list with one level of depth
myNestedType = TypedListType(T.TensorType(theano.config.floatX, (False, False)))
myType = TypedListType(myNestedType)
x = rand_ranged_matrix(-1000, 1000, [100, 100])
assert np.array_equal(myType.filter([[x]]), [[x]])
def test_intern_filter(self):
# Test checking if values contained are themselves
# filtered. If they weren't this code would raise
# an exception.
myType = TypedListType(T.TensorType('float64',
(False, False)))
x = np.asarray([[4, 5], [4, 5]], dtype='float32')
self.assertTrue(np.array_equal(myType.filter([x]), [x]))
def test_basic_nested_list(self):
# Testing nested list with one level of depth
myNestedType = TypedListType(T.TensorType(theano.config.floatX,
(False, False)))
myType = TypedListType(myNestedType)
x = rand_ranged_matrix(-1000, 1000, [100, 100])
self.assertTrue(np.array_equal(myType.filter([[x]]), [[x]]))
